User interfaces of audio tools and processors can be difficult for novices to use because technical parameters provide little guidance about their sonic manifestation. Borrowing a technique from psychoacoustics, the authors explore an efficient means for mapping users’ descriptors (target adjectives) to technical parameters. Weighting functions are created based on the relative influence of a parameter in influencing the adjective descriptor, such as warm, bright, and full. This approach was tested on two common types of processing: equalization and reverberation. Despite the relative simplicity of the approach, the results are promising.
https://www.aes.org/e-lib/browse.cfm?elib=15938
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.
Learn more about the AES E-Library
Start a discussion about this paper!